A density corrector performs a density correction processing on a resolution-converted image dataset to obtain a density-corrected image dataset by: determining whether each of first and second pixels in the resolution-converted image dataset is a deletion-target pixel, the first pixels each being a pixel located at a position including a longitudinal edge in a second original image, the second pixels each being a pixel located at a position including a lateral edge in the second original image, patterns of edges in regions in the first and second original images corresponding to the deletion-target pixel being the same; correcting a density of the deletion-target pixel to “0”; and correcting a density of respective pixels other than the deletion-target pixel among the first and second pixels to a value equal to or larger than an original density of the respective pixels.
Legal claims defining the scope of protection, as filed with the USPTO.
1. An image processing device comprising: an original image data acquirer configured to acquire original image datasets for a plurality of colors each having a first resolution, the plurality of colors including a first-resolution print color to be printed at the first resolution and a second-resolution print color to be printed at a second resolution lower than the first resolution and different from the first-resolution print color, the original image datasets including a first original image dataset for the first-resolution print color and a second original image dataset for the second-resolution print color; an edge detector configured to detect a longitudinal edge and a lateral edge of each of a first image in the first original image dataset and a second image in the second original image dataset; a resolution converter configured to convert the first resolution of the second original image dataset into the second resolution by performing a density averaging on each group of a plurality of pixels of the second original image dataset having the first resolution, to obtain a resolution-converted image dataset; a density corrector configured to perform a density correction processing on the resolution-converted image dataset to obtain a density-corrected image dataset by determining whether pixels in the resolution-converted image dataset include first pixels each being a pixel located at a position including the longitudinal edge in the second image, determining whether the pixels in the resolution-converted image dataset include second pixels each being a pixel located at a position including the lateral edge in the second image, upon determining that the pixels include the first pixels, determining whether each of the first pixels is a first deletion-target pixel, patterns of the longitudinal edges in regions in the first and second images corresponding to the first deletion-target pixel being the same, upon determining that the pixels include the second pixels, determining whether each of the second pixels is a second deletion-target pixel, patterns of the longitudinal edges in regions in the first and second images corresponding to the second deletion-target pixel being the same, correcting a density of the first and second deletion-target pixels to “0”, and correcting a density of respective pixels other than the first and second deletion-target pixels among the first and second pixels to a value equal to or larger than an original density of the respective pixels; and a print image data generator configured to generate print image datasets for the respective plurality of colors based on the first original dataset and the density-corrected image dataset, the print image datasets being in a format supported by a printing machine capable of printing the first-resolution print color at the first resolution and the second-resolution print color at the second resolution.
2. The image processing device according to claim 1 , wherein depending on a combination of the second-resolution print color and the first-resolution print color, the density corrector is configured to omit the correction of the density of the first and second deletion-target pixels to “0” in the resolution-converted image dataset.
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November 14, 2014
January 26, 2016
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